Muslim Women Against Feminism: The Family Love Alliance (Aliansi Cinta Keluarga) and Its Impact on Women's and Sexual Rights in Contemporary Indonesia.
Published In: TRaNS: Trans-Regional & National Studies of Southeast Asia, 2024, v. 12, n. 2. P. 156 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Sya'rani, Afifur Rochman 3 of 3
Abstract
This article discusses how Islamic conservatism has affected public discourse and policymaking on gender and sexuality and its impact on the struggle for gender equality and sexual rights in contemporary Indonesia. It particularly seeks to examine and analyse how Muslim women in the Family Love Alliance produced a counter-discourse against feminism in their struggle to oppose the ratification of the sexual violence eradication bill. While research on Islam and gender in Indonesia has primarily focused on Islamic feminism, little research has addressed the counter-discourse against Islamic feminism produced by Muslim women and how this might influence ideas of and advocacy for women's rights and gender equality. Some scholars on Indonesian Islam have also argued that rising Islamism has turned the country more religiously conservative. However, scholarly understanding of the relationship between Islamic conservatism and gender remains limited. Drawing on my fieldwork in 2018 and 2019 and informed by social movement theory, this study captures how AILA women activists represent a conservative Islamic backlash against gender equality movements in contemporary Indonesia's public sphere. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:TRaNS: Trans-Regional & National Studies of Southeast Asia. 2024/11, Vol. 12, Issue 2, p156
- Document Type:Article
- Subject Area:Sociology
- Publication Date:2024
- ISSN:2051-364X
- DOI:10.1017/trn.2023.6
- Accession Number:181499612
- Copyright Statement:Copyright of TRaNS: Trans-Regional & National Studies of Southeast Asia is the property of Cambridge University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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